A. Mates

573 citations
11 papers · 475 · h-index 6

Impact in

Papers in

A. Mates

10 papers receiving 468 citations

Peers

A. Mates
Comparison fields: 5 of 97
  • Rheumatology 149
  • Endocrinology 42
  • Molecular Medicine 20
  • Pharmacology 65
  • Cell Biology 58
Replace Priscilla Aparecida Tártari Pereira with:
Priscilla Aparecida Tártari Pereira Brazil
Abhisek Ghosal United States
Tatsuo Terashima Japan
Terushige Kawata Japan
Eugene P. Halligan United Kingdom
Ren-In You Taiwan
Justine T. Tigno-Aranjuez United States
Yuting Chen China
Peter T. Guidon United States
John Loh United States
A. Mates relative to Priscilla Aparecida Tártari Pereira Brazil Priscilla Aparecida Tártari Pereira's profile →
Citations per field
00.5×3.8×
Priscilla Aparecida Tártari Pereira · 1×
Citations per year

Countries citing papers authored by A. Mates

Since Specialization
Citations

This map shows the geographic impact of A. Mates's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A. Mates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Mates more than expected).

Fields of papers citing papers by A. Mates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Mates. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by A. Mates. The network helps show where A. Mates may publish in the future.

Co-authors

The 17 scholars most cited alongside A. Mates, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Mates Line = papers co-authored together A. Mates links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2009196
2 2007115
3 2009111
4 200524
5
Seroprevalence of antibodies against Toxoplasma gondii among two rural populations in northern Israel.
199311
6
Prevalence of antibodies to Toxoplasma gondii in the Tel-Mond area.
19939
7
Seroprevalence of antibodies against Toxoplasma gondii among recently immigrating Ethiopian Jews.
19935
8
Immune response in dog. 3. Antibody formation in dogs and rabbits to human serum proteins and keyhole limpet haemocyanin.
19762
9 20241
10
Immune response in dog. 5 Hyperimmunization with Salmonella typhosa vaccine.
19811
11 19730

About A. Mates

A. Mates is a scholar working on Immunology, Epidemiology, Parasitology, Infectious Diseases and Molecular Biology, having authored 11 papers that have together received 475 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (3 papers), Toxoplasma gondii Research Studies (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Herpesvirus Infections and Treatments (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Protein purification and stability (1 paper), Animal Virus Infections Studies (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Rheumatology (149 citations), Endocrinology (42 citations), Molecular Medicine (20 citations), Pharmacology (65 citations) and Cell Biology (58 citations). A. Mates has collaborated with scholars based in United States and Israel. Frequent co-authors include Albert W. Pearsall, Valentina Grishko, Min Xu, John W. Foster, G. L. Wilson, Scott M. Watson, Glenn L. Wilson, Robert M. Strieter, John E. Oakes and Rong Yin. Their work appears in journals such as Osteoarthritis and Cartilage, Virology, Journal of Bacteriology, Journal of Biological Chemistry and International Archives of Allergy and Immunology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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